code: def unpatch_module(
      module: torch.nn.Module, inplace: bool = True
  ) -> torch.nn.Module:
      """Replace MCDropout layers in a model with Dropout layers.
  
      Args:
          module (torch.nn.Module):
              The module in which you would like to replace dropout layers.
          inplace (bool, optional):
              Whether to modify the module in place or return a copy of the module.
  
      Returns:
          torch.nn.Module
              The modified module, which is either the same object as you passed in
              (if inplace = True) or a copy of that object.
      """
      return _patching_wrapper(
          module, inplace=inplace, patching_fn=_dropout_unmapping_fn
      )
  
file_path: baal/baal/bayesian/dropout.py
imports: from typing import Optional
  import torch
  from torch import nn
  from torch.nn import functional
  from torch.nn.modules.dropout import _DropoutNd
  from baal.bayesian.common import BayesianModule, _patching_wrapper
label_desc: Use image node_id 2 for calling a global function with example usage: unpatch_module(module, inplace) and returns: _patching_wrapper